Sedat Akleylek
- Signal Processing top 5%
- Advanced Malware Detection Techniques 23
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- Network Security and Intrusion Detection 29
- Software top 5%
- Information Systems top 2%
- Cryptography and Residue Arithmetic 14
- Artificial Intelligence top 5%
- Cryptography and Data Security 36
- Coding theory and cryptography 25
- Cryptographic Implementations and Security 24
- Anomaly Detection Techniques and Applications 10
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- Chaos-based Image/Signal Encryption 18
- Co-authors
- Erdal KılıçDurmuş Özkan Şahi̇nKorhan CengizTu N. NguyenVincent RijmenAli GhaffariWai‐Kong LeeSeong Oun Hwang
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Access (10 papers)Sensors (1 paper)
In The Last Decade
Sedat Akleylek
99 papers receiving 775 citations
Peers
Comparison fields: 5 of 73
- Signal Processing 246
- Computer Networks and Communications 437
- Software 59
- Information Systems 292
- Artificial Intelligence 365
Countries citing papers authored by Sedat Akleylek
This map shows the geographic impact of Sedat Akleylek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sedat Akleylek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sedat Akleylek more than expected).
Fields of papers citing papers by Sedat Akleylek
This network shows the impact of papers produced by Sedat Akleylek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sedat Akleylek. The network helps show where Sedat Akleylek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sedat Akleylek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | ANOMALY DETECTION WITH API CALLS BY USING MACHINE LEARNING: SYSTEMATIC LITERATURE REVIEW | 2024 | 1 |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 0 | |
| 17 | 2020 | 2 | |
| 18 | 2018 | 0 | |
| 19 | 2013 | 1 | |
| 20 | 2011 | 1 |
About Sedat Akleylek
Sedat Akleylek is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 119 papers that have together received 824 indexed citations. Recurring topics across this work include Cryptography and Data Security (36 papers), Network Security and Intrusion Detection (29 papers), Coding theory and cryptography (25 papers), Cryptographic Implementations and Security (24 papers), Advanced Malware Detection Techniques (23 papers), Chaos-based Image/Signal Encryption (18 papers), Cryptography and Residue Arithmetic (14 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Signal Processing (246 citations), Computer Networks and Communications (437 citations) and Software (59 citations). Sedat Akleylek has collaborated with scholars based in Türkiye, Estonia and Malaysia. Frequent co-authors include Erdal Kılıç, Durmuş Özkan Şahi̇n, Korhan Cengiz, Tu N. Nguyen, Vincent Rijmen, Ali Ghaffari, Wai‐Kong Lee, Seong Oun Hwang, N. Jeremi Duru and Wun‐She Yap. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.